GWAS and enrichment analyses of non-alcoholic fatty liver disease identify new trait-associated genes and pathways across eMERGE Network.
A clustering approach for detecting implausible observation values in electronic health records data.
Use of Narrative Concepts in Electronic Health Records to Validate Associations Between Genetic Factors and Response to Treatment of Inflammatory Bowel Diseases.
Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.
Rationale and design of a navigator-driven remote optimization of guideline-directed medical therapy in patients with heart failure with reduced ejection fraction.
High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP).
Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy.
Association of Genetic Risk of Obesity with Postoperative Complications Using Mendelian Randomization.
